//List<IPosition> posList;
//TimeCounter stopwatch;
//Random random;
//double[] nnX, nnLogX, m2mnnY, kdtnnY, m2mnnppY, kdtnnppY;
/**************************************************************************************
* 功能：对算法进行分析
* 参数：width - 地图宽
* height - 地图高
* start - 初始的点集数目
* multiple - 每一轮分析后点集数目的增大倍数
* round - 已不同点集数目分析的次数
* avergae - 对同一点集数目分析的次数（然后取结果平均值）
**************************************************************************************/
public void analyse(int askCount)
{
//生成源点集
askPoint = new KD2DPoint[askCount];
for (int i = 0; i < askCount; i++)
{
askPoint[i] = getRandomPoint(mapWidth, mapHeight);
}
m2mNearestPoint = new IPosition[askCount];
kdtNearestPoint = new IPosition[askCount];
double[] dataSequence = SequenceMaker.GenerateData_Multiple();
CurvePlot_Function_Time curvePlot1 = new CurvePlot_Function_Time("Comparsion of the Preprocesses of KDTree and M2M", "PointNumber", "time", false, createPointSet);
init();
curvePlot1.addProc("M2MNNPP", runM2MNNPP);
curvePlot1.addProc("KDTNNPP", runKDTNNPP);
curvePlot1.draw(dataSequence);
CurvePlot_Function_Time curvePlot2 = new CurvePlot_Function_Time("Comparsion of the Nearest Neighbor Algorithm base on KDTree and M2M", "PointNumber", "time", false, createPointSetWithPrepare);
init();
curvePlot2.addProc("M2MN", runM2MNN);
curvePlot2.addProc("KDTNN", runKDTNN);
curvePlot2.setAskCount(askCount);
curvePlot2.draw(dataSequence);
compareResult();
}
//测试画函数图
void test2()
{
CurvePlot_Function curvePlot = new CurvePlot_Function("hello", "x", "y", false);
curvePlot.add("func1", f1);
curvePlot.add("func2", f2);
curvePlot.draw(SequenceMaker.GenerateData_Linear(0, 10000, 10));
}
//测试计时并作图
void test3()
{
CurvePlot_Function_Time curvePlot = new CurvePlot_Function_Time("hello", "x", "y", false);
curvePlot.addProc("proc1", proc1);
curvePlot.addProc("proc2", proc2);
//curvePlot.draw(SequenceMaker.genXData_Exp(2, 0, 10));
curvePlot.draw(SequenceMaker.GenerateData_Multiple());
}
public SequenceController(string[] inputArgs)
{
Parser parser = new Parser(inputArgs);
ISequenceMaker maker = new SequenceMaker(parser.InputLimiter);
ISequence sequence = new Models.Sequence {
Integers = maker.MadeIntegers
};
new SequenceViewer(sequence);
}
private void btnAnalyse_Click(object sender, EventArgs e)
{
new ConfiguratedByForm(chc);
CurvePlot_Function_Time curvePlot = new CurvePlot_Function_Time("Comparsion Among Convex Hull Algorithm", "Point Number", "time(ms)", false, GetRandomPositionSet);
curvePlot.addProc("M2MCH", M2MCH);
curvePlot.addProc("M2MPP", M2MPP);
curvePlot.addProc("GSCH", GSCH);
curvePlot.addProc("QHCH", QHCH);
curvePlot.addProc("JMCH", JMCH);
//CurvePlot_Function_Time curvePlot = new CurvePlot_Function_Time("Comparsion Among Convex Hull Algorithm", "Point Number", "time(ms)", false, RunPreProcess);
//curvePlot.addProc("M2MQCH", M2MQCH);
//curvePlot.draw(SequenceMaker.genXData_Exp(2, 0, 10));
//curvePlot.draw(SequenceMaker.GenerateData_Linear(double.Parse(textIncreaseInterval.Text), double.Parse(textMaxPointNum.Text), double.Parse(textIncreaseInterval.Text)));
curvePlot.draw(SequenceMaker.GenerateData_Multiple());
}